AVP/VP, Index Operations

Index Operations:

Manage Daily Operations: Run the daily operations of the index platform, ensuring timely and accurate calculation and publication of index values.

Quality Control: Implement and maintain rigorous quality control processes to ensure the integrity and accuracy of index data.

Data Management: Ensure the accuracy and completeness of data used for index calculations, including prices, market capitalization, and other relevant metrics.

Issue Resolution: Address and resolve any operational issues or discrepancies related to index calculations and publications.

Solutioning and Innovation:

Platform Enhancement: Identify opportunities for improving the index platform, including automation, scalability, and efficiency enhancements.

Technology Integration: Collaborate with IT and technology teams to implement new tools and technologies that enhance index operations.

Process Improvement: Develop and implement process improvements to streamline index operations and reduce operational risk.

Project Management: Lead and manage projects related to index platform enhancements, ensuring timely delivery and alignment with business objectives.

Stakeholder Management:

Client Support: Provide support to stakeholders regarding index-related inquiries and issues.

Collaboration: Work closely with other departments, including product development, rebalancing, to ensure alignment and support for index operations.

Governance:

Governance: Establish and maintain governance frameworks for index operations, including policies, procedures, and controls.

What qualifications or skills should you possess in this role

• Degree in Finance, Business, or related fields with minimum 8-10 years of relevant working experience in index and data management
• Possess good knowledge of financial instruments and markets. An additional qualification like CFA will be considered favourably.
• Experience with data providers such as MSCI, Bloomberg, Thomson Reuters, Markit and others would be preferred
• Passion for data and process-oriented analysis with strong analytic and business diagnostic skills
• Meticulous and detail oriented, with rigor for thoroughness and controls
• Strong learning agility with the ability to connect the dots.
• Self-starter with excellent interpersonal and communication skills with strong learning agility
• Team player with the willingness to take on ownership and new challenges in a fast-paced and changing environment.